Integrative Multi-Omics Studies in Development and Diseases
A special issue of Biomolecules (ISSN 2218-273X).
Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 5600
Special Issue Editors
Interests: epigenomics; proteogenomics; genome annotation; stem cells; bioinformatics
Interests: proteomics; transcriptomics; post-translational modifications; proteogenomics; systems-biology
Special Issue Information
Dear Colleagues,
Biological processes are overwhelmingly intricate and involve a multiplex interplay of biomolecules, including DNA, RNA, Proteins, metabolites, and epigenetic modifications. High-throughput technologies, such as epigenomics: the study of epigenetic modifications; genomics: the study of genes and DNA; transcriptomics: the study of gene expression as RNA; proteomics: the study of proteins and post-translational modifications; and metabolomics: the study of metabolites are powerful methods to understand the cellular dynamics of one type of biomolecules. The datasets resulting from these OMICS technologies are increasingly complex to analyze and often are underutilized. Despite accelerated innovations on various high-throughput OMICS technologies, these methods, when in isolation, are inherently limited in their ability to provide a holistic depiction of cellular processes. The integration of datasets from two or more OMICS technologies adds complexity further, remains challenging and requires the development of specialized bioinformatics tools. Recently, studies combining different OMICS datasets from the same cellular state are increasingly used in basic and clinical research. Similar integrative multi-omics studies are better suited to inform about key determinants of disease manifestations and/or cell fate decisions during development.
This Special Issue in Biomolecules on “Integrative Multi-Omics Studies in Development and Diseases” will focus on the recent developments, methodological innovations, and future perspectives in integrating multi-omics datasets applied to improve our understanding of the development and disease phenotypes.
Dr. Dhirendra Kumar
Dr. Trayambak Basak
Dr. Brian Deskin
Guest Editors
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Keywords
- integrative biology
- epigenomics
- transcriptomics
- proteomics
- metabolomics
- systems biology
- computational biology
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